College Intern - AI Engineering - Fall 2026 (Multiple Openings)
$37,440–$37,440 year
On-siteBuffalo, New York, United States or Rochester, New York, United States
Job Summary
Extract and leverage clinical data to enhance and optimize traditional NLP and ML solutions with robust AI, significantly boosting predictive accuracy and ensuring coding compliance. Scale existing models to identify and stratify complex chronic conditions, enabling proactive, data-driven population health features while working with a mentor on key strategic projects. Create and deliver a presentation at the completion of the internship. Maintain high standards of integrity, member privacy, and reliable attendance while performing non-technical and/or technical business-related projects as assigned.
Required Qualifications
- High School diploma along with proof of continuous college enrollment (enrolled in a full-time undergraduate or graduate degree program)
- Must be in good academic standing
- Regular and reliable attendance is expected and required
- Ability to work while sitting and/or standing at a workstation viewing a computer and using a keyboard, mouse and/or phone for three (3) or more hours at a time
- Ability to travel across the Health Plan service region for meetings and/or trainings as needed
Desired Qualifications
- Minimum Qualifications: Desired majors include Data Science, AI Engineering, Statistics, Mathematics, Software Engineering, Computer Science or similar degree program
- Preferred skills or experience with: Programming, Statistics, Advanced Modeling, Natural Language Processing (NLP), Deep Learning, Agentic AI, and/or LLM
- Excellent communication skills both verbal and written with the ability to communicate to technical and non-technical audiences and interface with staff at all levels of the company
- Ability to work in a fast-paced changing environment and deliver high-quality work product
- Ability to work well in a team establishing good working relationships with peers
- Ability to multitask and prioritize tasks with a strong attention to detail
- Experience using a desktop computer in a professional environment
- Experience with Microsoft Office Suite
- Demonstrates strong organizational and prioritization skills
- Strong analytical and problem-solving skills
- Proactive approach to work, displaying creativity and flexibility in completing assigned tasks
- Commitment to continuous improvement of skills and team functioning
- Must be self-motivated and able to work independently, as well as on intra- and inter- departmental teams where needed
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